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Data Compute Jobs in Purchase, NY (NOW HIRING)

Software Engineer, Data Infrastructure

Manhattan, NY ยท On-site

$126K - $151K/yr

We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high ...

We acquire power, design and build data centers, and operate them - with teams spanning hardware ... The Compute Production Team The Compute Production team builds the data foundations and internal ...

Role Overview You will own the buildโ€‘out of Fractal's compute business: modular data center capacity coโ€‘located with our distributed power assets, from siting and concept through commissioning ...

AI Compute Engineer

Manhattan, NY ยท On-site

$107K - $147K/yr

As an AI Compute Engineer, you'll work at the intersection of frontier models, products, and ... You can learn more about how we handle your personal data in our Applicant Privacy Policy. #J-18808 ...

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Data Compute information

See Purchase, NY salary details

$47.2K

$137.7K

$188.4K

How much do data compute jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data compute in Purchase, NY is $137,668.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $145,900.00 per year, depending on experience, location, and employer.

What is a data compute?

A Data Compute job involves managing and optimizing computational resources for processing large datasets. Professionals in this role work with cloud platforms, distributed computing frameworks, and high-performance computing (HPC) systems to ensure efficient data processing. They collaborate with data engineers and scientists to enhance performance, scalability, and cost-effectiveness of computational workloads.

What does a data compute do?

In a Data Compute role, your daily tasks may include designing and monitoring data pipelines, running large-scale data processing jobs, and maintaining the integrity and performance of compute infrastructure. You'll frequently collaborate with data scientists, engineers, and analysts to ensure datasets are accessible and optimized for analysis. Troubleshooting data processing bottlenecks, implementing automation solutions, and optimizing cloud or on-premises resources are also common aspects of the job. This role involves a mix of hands-on technical work and strategic planning to support data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive in the data compute position, and why are they important?

To thrive as a Data Compute professional, you need strong analytical abilities, expertise in data processing, and a relevant degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop or Spark), programming languages like Python or SQL, and certifications in cloud computing or data analytics are commonly expected. Attention to detail, problem-solving aptitude, and effective communication are crucial soft skills in this position. These skills are vital for ensuring accurate data interpretation, optimizing compute resources, and collaborating efficiently with other teams.

What cities near Purchase, NY are hiring for Data Compute jobs?

Cities near Purchase, NY with the most Data Compute job openings:

Infographic showing various Data Compute job openings in Purchase, NY as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $137,668 per year, or $66.2 per hour.

Software Engineer, Data Infrastructure

Manhattan, NY โ€ข On-site

OpenAI
Scientific Research and Development Servicesย โ€ขย 201 - 500 employees

$126K - $151K/yr

Other

Posted 13 days ago


Job description

About the Team

Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineering tooling such as Chronon. Our mission is to deliver reliable, secure, and efficient data access at scale and accelerate intelligent, AI assisted data workflows.

Join us to build and operate these core platforms that underpin OpenAI products, research, and analytics.

Weโ€™re not just scaling infrastructure โ€“ weโ€™re redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more reliable, and more intuitive.

About the Role

This role focuses on building and operating data infrastructure that supports massive compute fleets and storage systems, designed for high performance and scalability. Youโ€™ll help design, build, and operate the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, build and support high-throughput streaming systems, build and operate low latency data ingestions, enable secure and governed data access for ML and analytics, and design for reliability and performance at extreme scale.

You will take full lifecycle ownership: architecture, implementation, production operations, and on-call participation.

Youโ€™ve supported Spark, Kafka, Flink, Airflow, Trino, or Iceberg as platforms. Youโ€™re well-versed in infrastructure tooling like Terraform, experienced in debugging large-scale distributed systems, and excited about solving data infrastructure problems in the AI space.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:
  • Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security
  • Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient
  • Accelerate company productivity by empowering your fellow engineers & teammates with excellent data tooling and systems
  • Collaborate with product, research and analytics teams to build the technical foundations capabilities that unlock new features and experiences
  • Own the reliability of the systems you build, including participation in an on-call rotation for critical incidents
You might thrive in this role if you:
  • Have 4+ years in data infrastructure engineering OR
  • Have 4+ years in infrastructure engineering with a strong interest in data
  • Take pride in building and operating scalable, reliable, secure systems
  • Are comfortable with ambiguity and rapid change
  • Have an intrinsic desire to learn and fill in missing skills, and an equally strong talent for sharing learnings clearly and concisely with others

This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that generalโ€‘purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAIโ€™s Affโ€ฆ.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is nonโ€‘compliant, please submit a report through this form.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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